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    记忆梦境引擎 · AI 的睡眠系统

    mcpother official build verified dockerfile by the hub scanned
    cn.savantcat/memory-dream-engine · v1.0.1
    deploy just this

    零 LLM 事实提取 + 三维信号评分 + 艾宾浩斯衰减 + 五阶段梦境流水线与内容发芽检测,纯计算零依赖

    run it

    on your own machines, one way per deploy method
    verified 2026-10-18 · v1.0.1 · r-20261018T113623Z-fac4152a0a21
    The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p6), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
    # once, as root:
    docker build -t mcp-local/memory-dream-engine:368bb4edc3498eff1ed6daae2628c7c5594cbd38 -f - 'https://github.com/savantcat/memory-dream-engine.git#368bb4edc3498eff1ed6daae2628c7c5594cbd38' <<'DOCKERFILE'
    FROM python:3.12.8-slim
    WORKDIR /app
    COPY . .
    RUN pip install -r requirements.txt
    RUN useradd --create-home app
    USER app
    EXPOSE 8000
    CMD ["python", "server.py", "--transport", "http", "--host", "0.0.0.0", "--port", "8000"]
    DOCKERFILE
    
    #!/usr/bin/env bash
    # memory-dream-engine (cn.savantcat/memory-dream-engine), recipe docker (worker, verified 2026-10-18 on v1.0.1, run r-20261018T113623Z-fac4152a0a21).
    # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-memory-dream-engine.service.
    set -euo pipefail
    export HOST=127.0.0.1 PORT=8101
    exec docker run --rm --name mcp-my-agent-memory-dream-engine -p 127.0.0.1:${PORT}:8000 --env-file /etc/mcp/my-agent.env mcp-local/memory-dream-engine:368bb4edc3498eff1ed6daae2628c7c5594cbd38
    
    [Unit]
    Description=MCP server memory-dream-engine (toolset my-agent), generated by Hub
    After=network-online.target docker.service
    Wants=network-online.target
    
    [Service]
    Type=simple
    User=mcp
    Group=mcp
    SupplementaryGroups=docker
    EnvironmentFile=/etc/mcp/my-agent.env
    Environment=HOME=/var/lib/mcp/memory-dream-engine
    WorkingDirectory=/var/lib/mcp/memory-dream-engine
    ExecStart=/opt/mcp/my-agent/bin/memory-dream-engine.sh
    Restart=on-failure
    RestartSec=5
    NoNewPrivileges=true
    ProtectSystem=strict
    ProtectHome=true
    PrivateTmp=true
    ReadWritePaths=/var/lib/mcp/memory-dream-engine
    
    [Install]
    WantedBy=multi-user.target
    
    verified 2026-10-18 · v1.0.1 · r-20261018T113623Z-fac4152a0a21
    The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p6), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
    docker build -t memory-dream-engine -f - 'https://github.com/savantcat/memory-dream-engine.git#368bb4edc3498eff1ed6daae2628c7c5594cbd38' <<'DOCKERFILE'
    FROM python:3.12.8-slim
    WORKDIR /app
    COPY . .
    RUN pip install -r requirements.txt
    RUN useradd --create-home app
    USER app
    EXPOSE 8000
    CMD ["python", "server.py", "--transport", "http", "--host", "0.0.0.0", "--port", "8000"]
    DOCKERFILE
    docker run --rm -p 127.0.0.1:8101:8000 memory-dream-engine
    
    verified 2026-10-18 · v1.0.1 · r-20261018T113623Z-fac4152a0a21
    The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p6), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
    # Generated by Hub for toolset "my-agent" (2026-10-18T16:14:56+00:00).
    # Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
    #   cp .env.example .env    # fill the ${VAR}s
    #   docker compose up -d && bash smoke.sh
    # Remote servers are not here: clients reach them directly (see clients/).
    name: mcp-my-agent
    services:
      memory-dream-engine:
        build:
          context: https://github.com/savantcat/memory-dream-engine.git#368bb4edc3498eff1ed6daae2628c7c5594cbd38
          dockerfile_inline: |
            FROM python:3.12.8-slim
            WORKDIR /app
            COPY . .
            RUN pip install -r requirements.txt
            RUN useradd --create-home app
            USER app
            EXPOSE 8000
            CMD ["python", "server.py", "--transport", "http", "--host", "0.0.0.0", "--port", "8000"]
        x-dockerfile: written by the hub (hub-llm:hub-coder@p6), checked by hub-llm:gpt-oss:120b@r2, not taken
          from the repository
        ports:
        - 127.0.0.1:8101:8000
        restart: unless-stopped
    volumes:
      npm-cache: {}
      uv-cache: {}
    
    verified 2026-10-18 · v1.0.1 · r-20261018T113623Z-fac4152a0a21
    The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p6), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
    # Generated by Hub for toolset "my-agent" (2026-10-18T16:14:56+00:00).
    #   kubectl create namespace mcp
    #   kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
    #   kubectl apply -f kubernetes.yaml
    # Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
    # with auth in front before exposing any of them.
    apiVersion: v1
    kind: Namespace
    metadata:
      name: mcp
    ---
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: memory-dream-engine
      namespace: mcp
      labels: &id001
        app: memory-dream-engine
    spec:
      replicas: 1
      selector:
        matchLabels: *id001
      template:
        metadata:
          labels: *id001
        spec:
          containers:
          - name: memory-dream-engine
            image: CHANGE_ME
            ports:
            - containerPort: 8000
              name: http
            env: []
    ---
    apiVersion: v1
    kind: Service
    metadata:
      name: memory-dream-engine
      namespace: mcp
    spec:
      selector:
        app: memory-dream-engine
      ports:
      - port: 8000
        targetPort: http
        name: http
    
    dockerfile
    FROM python:3.12.8-slim
    WORKDIR /app
    COPY . .
    RUN pip install -r requirements.txt
    RUN useradd --create-home app
    USER app
    EXPOSE 8000
    CMD ["python", "server.py", "--transport", "http", "--host", "0.0.0.0", "--port", "8000"]
    
    verified 2026-10-18 · v1.0.1 · r-20261018T113623Z-fac4152a0a21
    The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p6), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
    # Generated by Hub for toolset "my-agent" (2026-10-18T16:14:56+00:00).
    # Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
    # Each server under `servers` is one Deployment + Service; the keys after it configure
    # upstream charts a worker verified.
    servers:
      memory-dream-engine:
        enabled: true
        replicas: 1
        port: 8000
        path: /mcp
        container:
          name: memory-dream-engine
          image: CHANGE_ME
          ports:
          - containerPort: 8000
            name: http
          env: []
    
    # helm install my-agent helm/my-agent -n mcp
    
    dockerfile
    FROM python:3.12.8-slim
    WORKDIR /app
    COPY . .
    RUN pip install -r requirements.txt
    RUN useradd --create-home app
    USER app
    EXPOSE 8000
    CMD ["python", "server.py", "--transport", "http", "--host", "0.0.0.0", "--port", "8000"]
    

    Scanned github.com/savantcat/memory-dream-engine at 368bb4edc349 with [email protected][email protected] on 2026-10-18 before the build: 2 dependencies, 10 known vulnerabilities (4 high, 2 medium, 4 low), nothing in the code that looks malicious.

    connect to it

    copy what your client needs
    {
      "mcpServers": {
        "memory-dream-engine": {
          "command": "CHANGE_ME",
          "args": []
        }
      }
    }
    #!/usr/bin/env bash
    # Registers every server with Claude Code (run once; `claude mcp list` to check).
    set -euo pipefail
    set -a; [ -f .env ] && source .env; set +a
    claude mcp add memory-dream-engine -- CHANGE_ME
    
    {
      "mcpServers": {
        "memory-dream-engine": {
          "command": "CHANGE_ME",
          "args": []
        }
      }
    }
    {
      "servers": {
        "memory-dream-engine": {
          "type": "stdio",
          "command": "CHANGE_ME",
          "args": []
        }
      }
    }
    name: my-agent
    target: local
    servers:
    - hub: cn.savantcat/memory-dream-engine
    
    • no recipe for target 'local': fill the files by hand

    tools · 6

    • decay_reporttested艾宾浩斯衰减计算:当前记忆强度、访问一次能增强多少、该不该归档,以及完整衰减曲线。 半衰期 30 天;最低强度 0.05(不会彻底忘记);每次访问增强 ×1.3。 用它回答「这条记忆放了 N 天还剩多少」「什么时候该归档」「访问一次能不能救回来」。 Args: strength: 初始(或上次)记忆强度,0-1,默认 1.0。 days_since_access: 距上次访问的天数,默认 0。 threshold: 归档阈值,低于它建议归档,默认 0.15。

      艾宾浩斯衰减计算:当前记忆强度、访问一次能增强多少、该不该归档,以及完整衰减曲线。 半衰期 30 天;最低强度 0.05(不会彻底忘记);每次访问增强 ×1.3。 用它回答「这条记忆放了 N 天还剩多少」「什么时候该归档」「访问一次能不能救回来」。 Args: strength: 初始(或上次)记忆强度,0-1,默认 1.0。 days_since_access: 距上次访问的天数,默认 0。 threshold: 归档阈值,低于它建议归档,默认 0.15。

      called 2026-10-18 · 3 ms · arguments from the schema
      pin 4942d5c9fe491be652cd6138933383d6c2342214187c139b5c2c9d14db619851
    • engine_infotested引擎能力概览:四个「别人没有」的点、与同类方案的取舍对比、以及本服务的边界。

      引擎能力概览:四个「别人没有」的点、与同类方案的取舍对比、以及本服务的边界。

      called 2026-10-18 · 3 ms · arguments from the schema
      pin 9e9de0d48f9528e6346d26598640d794964d349fc8d48c7948ac942be9d9c120
    • extract_factstested零 LLM 事实提取:用纯正则从一段对话/笔记里抽出可长期记住的事实。 中英文通吃(这是与同类工具最大的差别——多数方案只支持英文正则)。 不调用任何模型,不花 token。抽取类型:偏好 preference / 纠偏 correction / 环境 env / 工具 tool / 决策 decision。 Args: text: 待提取的文本(对话记录、笔记、复盘都行)。上限返回 10 条。

      零 LLM 事实提取:用纯正则从一段对话/笔记里抽出可长期记住的事实。 中英文通吃(这是与同类工具最大的差别——多数方案只支持英文正则)。 不调用任何模型,不花 token。抽取类型:偏好 preference / 纠偏 correction / 环境 env / 工具 tool / 决策 decision。 Args: text: 待提取的文本(对话记录、笔记、复盘都行)。上限返回 10 条。

      called 2026-10-18 · 10 ms · arguments from the schema
      pin a1f0440bb33d30200b00fc30e8ccd12d903049c965dfafc52554c224cf544e2b
    • list_signal_typestested列出四维信号(决策 / 纠偏 / 工具 / 灵感)的定义、权重、检索词与三维评分权重。 打分前先看这里,能知道每种信号被侧重看哪个维度,避免拿一把尺子量到底。

      列出四维信号(决策 / 纠偏 / 工具 / 灵感)的定义、权重、检索词与三维评分权重。 打分前先看这里,能知道每种信号被侧重看哪个维度,避免拿一把尺子量到底。

      called 2026-10-18 · 3 ms · arguments from the schema
      pin 2ad94955356dbf033f652c03ffcb67871f21596f52936da74e1ddb931e9dfb25
    • score_signaltested三维动态评分:给一条信号打分,并给出该不该写进长期记忆的结论。 三个维度是 durability(持久度)/ correction(纠偏度)/ reusability(复用度), 权重按信号类型自适应——决策信号看持久度、纠偏信号看纠偏度、工具信号看复用度。 Args: text: 信号内容(一句话或一整段都行)。 signal_type: 信号类型,必须是 list_signal_types 里的名字之一: 决策信号 / 纠偏信号 / 工具信号 / 灵感信号

      三维动态评分:给一条信号打分,并给出该不该写进长期记忆的结论。 三个维度是 durability(持久度)/ correction(纠偏度)/ reusability(复用度), 权重按信号类型自适应——决策信号看持久度、纠偏信号看纠偏度、工具信号看复用度。 Args: text: 信号内容(一句话或一整段都行)。 signal_type: 信号类型,必须是 list_signal_types 里的名字之一: 决策信号 / 纠偏信号 / 工具信号 / 灵感信号

      called 2026-10-18 · 3 ms · arguments from the schema
      pin 04c5a0656e97531037e87b28b71f7e28144ad3ded5905348c13f5912e6234a60
    • simulate_dream用一段文本跑完整的五阶段梦境周期,返回逐步报告(含发芽检测与 token 节省)。 在**临时库**里执行,调用方不落任何持久数据。五阶段 = 浅睡采集 / 深睡评分 / 写入 / 优化 / REM 发芽。衰减与发芽检测每 3 轮才触发,所以默认跑 3 轮。 Args: text: 要摄入的文本(对话记录 / 笔记 / 复盘)。留空则只跑优化与发芽。 cycles: 跑几轮梦境周期,默认 3(至少 3 才能触发衰减与发芽)。

      用一段文本跑完整的五阶段梦境周期,返回逐步报告(含发芽检测与 token 节省)。 在**临时库**里执行,调用方不落任何持久数据。五阶段 = 浅睡采集 / 深睡评分 / 写入 / 优化 / REM 发芽。衰减与发芽检测每 3 轮才触发,所以默认跑 3 轮。 Args: text: 要摄入的文本(对话记录 / 笔记 / 复盘)。留空则只跑优化与发芽。 cycles: 跑几轮梦境周期,默认 3(至少 3 才能触发衰减与发芽)。

      pin 1c42d03d0a464ae9b3fecb6aee223a00de6378c6fd8510ae82f7f49d4136e774

    runs · 2

    the latest tests of this entry by the hub and its workers, newest first
    dateworkermethodstatussandboxreason
    2026-10-18 11:36 local-mac-vm dockermcp 2026-07-28 ok6 tools gvisor —
    2026-10-17 13:38 local-mac-vm docker failed gvisor docker: sandbox: docker build: ERROR: failed to build: failed to solve: failed to read dockerfile: open Dockerfile: no such file or directory